Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analysis of gaze and speech patterns in three-party quiz game interaction
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0001-9327-9482
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-0397-6442
2013 (English)In: Interspeech 2013, 2013, 1126-1130 p.Conference paper, Published paper (Refereed)
Abstract [en]

In order to understand and model the dynamics between interaction phenomena such as gaze and speech in face-to-face multiparty interaction between humans, we need large quantities of reliable, objective data of such interactions. To date, this type of data is in short supply. We present a data collection setup using automated, objective techniques in which we capture the gaze and speech patterns of triads deeply engaged in a high-stakes quiz game. The resulting corpus consists of five one-hour recordings, and is unique in that it makes use of three state-of-the-art gaze trackers (one per subject) in combination with a state-of-theart conical microphone array designed to capture roundtable meetings. Several video channels are also included. In this paper we present the obstacles we encountered and the possibilities afforded by a synchronised, reliable combination of large-scale multi-party speech and gaze data, and an overview of the first analyses of the data. Index Terms: multimodal corpus, multiparty dialogue, gaze patterns, multiparty gaze.

Place, publisher, year, edition, pages
2013. 1126-1130 p.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-137388Scopus ID: 2-s2.0-84906231582OAI: oai:DiVA.org:kth-137388DiVA: diva2:678921
Conference
14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25-29, 2013. ISCA 2013
Note

QC 20140603

Available from: 2013-12-13 Created: 2013-12-13 Last updated: 2014-06-03Bibliographically approved

Open Access in DiVA

No full text

Scopus

Authority records BETA

Edlund, JensGustafson, Joakim

Search in DiVA

By author/editor
Al Moubayed, SamerEdlund, JensGustafson, Joakim
By organisation
Speech Communication and Technology
Computer ScienceLanguage Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 85 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf